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Austin Bradford Hill was born in London son of Sir Leonard Erskine Hill FRS, a distinguished physiologist. He served as a pilot in the First World War but was invalided out when he contracted tuberculosis. Two years in hospital and two years of convalescence put a medical qualification out of the question and he took a degree in economics by correspondence. In 1922 he went to work for the Industry Fatigue Research Board. He was associated with the medical statistician Major Greenwood and, to improve his statistical knowledge, Hill attended lectures by Karl Pearson. When Greenwood accepted a chair at the newly formed London School of Hygiene and Tropical Medicine. Hill moved with him, becoming Reader in Epidemiology and Vital Statistics in 1933 and Professor of Medical Statistics in 1947.
Hill had a distinguished career in research and teaching and as author of a very successful textbook, Principles of Medical Statistics, but he is famous for two landmark studies. He was the statistician on the Medical Research Council Streptomycin in Tuberculosis Trials Committee and their study evaluating the use of streptomycin in treating tuberculosis, is generally accepted as the first randomised clinical trial. The use of randomisation in agriculural experiments had been pioneered by Ronald Aylmer Fisher. The second study was rather a series of studies with Richard Doll on smoking and lung cancer. The first paper, published in 1950, was a case-control study comparing lung cancer patients with matched controls. Doll and Hill also started a long-term prospective study of smoking and health. This was an investigation of the smoking habits and health of over 30,000 British doctors for several years ( British doctors study). Fisher was in profound disagreement with the conclusions and procedures of the smoking/cancer work
On Hill's death Peter Armitage wrote, “to anyone involved in medical statistics, epidemiology or public health, Bradford Hill was quite simply the world’s leading medical statistician.”
Hill's well-known paper on causation is available on the web
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